Jürg Wullschleger
- Plant Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Cell Biology top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Co-authors
- Helge SierotzkiU. GisiP. JunodRobert KönigStephanie WehnerJeremy GodwinSimona PalermoRenato Renner
- Topics
- Quantum Computing Algorithms and Architecture (7 papers)Quantum Information and Cryptography (6 papers)Quantum Mechanics and Applications (5 papers)
- Journals
- IEEE Transactions on Information TheoryCommunications in Mathematical PhysicsPhysics Letters A
- Partner nations
- SwitzerlandUnited KingdomCanada
In The Last Decade
Jürg Wullschleger
23 papers receiving 816 citations
Peers
Comparison fields: 5 of 68
- Plant Science 378
- Ecology, Evolution, Behavior and Systematics 334
- Cell Biology 222
- Atomic and Molecular Physics, and Optics 208
- Artificial Intelligence 208
Countries citing papers authored by Jürg Wullschleger
This map shows the geographic impact of Jürg Wullschleger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jürg Wullschleger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürg Wullschleger more than expected).
Fields of papers citing papers by Jürg Wullschleger
This network shows the impact of papers produced by Jürg Wullschleger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jürg Wullschleger. The network helps show where Jürg Wullschleger may publish in the future.
Co-authorship network of co-authors of Jürg Wullschleger
This figure shows the co-authorship network connecting the top 25 collaborators of Jürg Wullschleger. A scholar is included among the top collaborators of Jürg Wullschleger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jürg Wullschleger. Jürg Wullschleger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 68 | |
| 3 | 38 | |
| 4 | 113 | |
| 5 | 3 | |
| 6 | The Decoupling Theorem | 8 |
| 7 | Sensitivity to CAA fungicides and frequency of mutations in cellulose synthase (CesA3) gene of oomycete pathogen populations. | 6 |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 186 | |
| 11 | 15 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 172 | |
| 15 | 148 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 6 | |
| 20 | 3 |
About Jürg Wullschleger
Jürg Wullschleger is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computational Theory and Mathematics, having authored 25 papers that have together received 854 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (6 papers) and Quantum Mechanics and Applications (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (334 citations), Cell Biology (222 citations) and Plant Science (378 citations). Jürg Wullschleger has collaborated with scholars based in Switzerland, United Kingdom and Canada. Frequent co-authors include Helge Sierotzki, U. Gisi, P. Junod, Robert König, Stephanie Wehner, Jeremy Godwin, Simona Palermo, Renato Renner, Stefan Wolf and Frédéric Dupuis. Their work appears in journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Physics Letters A.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.